search for: foodexp

I?d like to solicit some advice on a debugging problem I have in the quantreg package. Kurt and Brian have reported to me that on Debian machines with gfortran 9 library(quantreg) f = summary(rq(foodexp ~ income, data = engel, tau = 1:4/5)) plot(f) fails because summary() produces bogus estimates of the coefficient bounds. This example has been around in my R package from the earliest days of R, and before that in various incarnations of S. The culprit is apparently rqbr.f which is even more anc...

...2019, at 08:48, Koenker, Roger W <rkoenker at illinois.edu> wrote: > > I?d like to solicit some advice on a debugging problem I have in the quantreg package. > Kurt and Brian have reported to me that on Debian machines with gfortran 9 > > library(quantreg) > f = summary(rq(foodexp ~ income, data = engel, tau = 1:4/5)) > plot(f) > > fails because summary() produces bogus estimates of the coefficient bounds. > This example has been around in my R package from the earliest days of R, and > before that in various incarnations of S. The culprit is apparently rqbr...

...s decribed in the manual, but the function latex() doesn't seem to react on _any_ other options than 'digits' and 'transpose'. To reproduce these results the following minimal example may be used: require(quantreg) setwd("c:/temp") data(engel) fit2 <- summary(rq(foodexp~income,tau=c(0.05,0.25,0.5,0.75,0.95),data=engel)) # This code produces a table with _no_ caption latex(fit2, caption="Engel's Law") I already tried to use different versions of the package but this problem seems to be persistent. The usage of latex() should be correct since I adap...

Dear all How can I obtain the data from the function "rearrange" in package quantreg More especifically, based on the example below (available in the help of the rearrange function), how can I access the data generated by "rearrange(zp)" ? data(engel) z <- rq(foodexp ~ income, tau = -1,data =engel) zp <- predict(z,newdata=list(income=quantile(engel$income,.03)),type="stepfun") plot(zp,do.points = FALSE, xlab = expression(tau), ylab = expression(Q ( tau )), main="Engel Food Expenditure Quantiles") plot(rearrange(zp),do.points = FAL...

...a.action = na.action, xlev = object$xlevels) : variable lengths differ (found for 'pcinc') and again it is not working if I put quantile in the dummies Perhaps I am doing a stupid mistake since I haven't understood why we use this 0.3 quantile in income **** data(engel) z <- rq(foodexp ~ income, tau = -1,data =engel) zp <- predict(z,newdata=list(income=quantile(engel$income,.03)),type="stepfun") plot(zp,do.points = FALSE, xlab = expression(tau), ylab = expression(Q ( tau )), main="Engel Food Expenditure Quantiles") plot(rearrange(zp),do.points = FAL...

Roger, On 4 August 2019 at 06:48, Koenker, Roger W wrote: | I?d like to solicit some advice on a debugging problem I have in the quantreg package. | Kurt and Brian have reported to me that on Debian machines with gfortran 9 | | library(quantreg) | f = summary(rq(foodexp ~ income, data = engel, tau = 1:4/5)) | plot(f) | | fails because summary() produces bogus estimates of the coefficient bounds. | This example has been around in my R package from the earliest days of R, and | before that in various incarnations of S. The culprit is apparently rqbr.f which is | e...

...gt; > On 4 August 2019 at 06:48, Koenker, Roger W wrote: > | I?d like to solicit some advice on a debugging problem I have in the > quantreg package. > | Kurt and Brian have reported to me that on Debian machines with gfortran > 9 > | > | library(quantreg) > | f = summary(rq(foodexp ~ income, data = engel, tau = 1:4/5)) > | plot(f) > | > | fails because summary() produces bogus estimates of the coefficient > bounds. > | This example has been around in my R package from the earliest days of > R, and > | before that in various incarnations of S. The culprit...